class_docstr: Base class for training strategies.
code: def load_model(
      self, model: nn.Module, path: str, strict: bool = True
  ) -> None:
      self.booster.load_model(model, path, strict)
  
imports: from abc import ABC, abstractmethod
  from contextlib import nullcontext
  from typing import Callable, Dict, List, Optional, Tuple, Union
  import torch
  import torch.nn
  from coati.experience_buffer import ExperienceBuffer
  from torch.optim import Optimizer
  from torch.utils.data import DataLoader
  from transformers.tokenization_utils_base import PreTrainedTokenizerBase
  from colossalai.booster import Booster
  from colossalai.booster.plugin import Plugin
  from .sampler import DistributedSampler
label_desc: Use image node_id 11 for calling the Strategy obj's underlying member method code with example usage: obj.load_model(model, path, strict) without return types